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Data Engineer Project Jobs in Reston, VA (NOW HIRING)

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members regarding data engineering best practices, modern data architectures, and ...

Navtech, Inc.

Data Engineer

Loudoun, VA · On-site

$129K - $155K/yr

Data Engineer Job Location: Reston, VA(100% Remote)(Non-Locals also will work) Position Type ... Our projects ingest structured and unstructured data from multiple sources, which eventually ends ...

Platinum Technologies

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members regarding data engineering best practices, modern data architectures, and ...

Barrow Wise Consulting

Snowflake Data Engineer

MD · On-site

$100K - $155K/yr

Bachelor's Degree in a related field * 6 years of experience performing large-scale data engineering projects * 3 years using the Snowflake platform, SQL, and cloud data engineering. * Experience ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... driven projects in the industry. You'll develop and deploy the pipelines and platforms that ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... driven projects in the industry. You'll develop and deploy the pipelines and platforms that ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · Hybrid

$62K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... driven projects in the industry. You'll develop and deploy the pipelines and platforms that ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... driven projects in the industry. You'll develop and deploy the pipelines and platforms that ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... driven projects in the industry. You'll develop and deploy the pipelines and platforms that ...

Booz Allen Hamilton

Data Engineer

Arlington, VA

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... driven projects in the industry. You'll develop and deploy the pipelines and platforms that ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... driven projects in the industry. You'll develop and deploy the pipelines and platforms that ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... project needs require Preferred Qualifications: * Advanced degree (MS) in analytics, computer ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... project needs require Preferred Qualifications: * Advanced degree (MS) in analytics, computer ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition #710 Locations USA-VA-Arlington Posting Date 06/12 ... project needs require Preferred Qualifications: * Advanced degree (MS) in analytics, computer ...

Pioneering Evolution LLC

Data Engineer

Arlington, VA · On-site

$100K - $155K/yr

The Data Engineer will work closely with software engineers, the Chief Engineer, product teams ... Build repeatable processes for migrating legacy financial, planning, project, funding, and ...

New

GRVTY

Data Engineer

Chantilly, VA

$150K - $250K/yr

What You'll be Owning GRVTY is seeking a Data Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. This role, requires working with ...

Booz Allen Hamilton

Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy ...

ProSidian Consulting

Data Engineer

Alexandria, VA · Hybrid

$122K - $147K/yr

ProSidian.com ProSidian Seeks a Data Engineer | Workforce Planning & Strategic Human Capital ... Proficiency in project management methodologies and tools. | Exceptional leadership and ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · Hybrid

$62K - $141K/yr

As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy ...

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Showing results 21-40

All JobsData Engineer Project JobsData Engineer Project Jobs in Reston, VA

Data Engineer Project information

See Reston, VA salary details

$47.9K

$171.7K

$253.3K

How much do data engineer project jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data engineer project in Reston, VA is $171,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,900.00 and $176,900.00 per year, depending on experience, location, and employer.

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

What are popular job titles related to Data Engineer Project jobs in Reston, VA?

For Data Engineer Project jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Project jobs in Reston, VA look for?

The top searched job categories for Data Engineer Project jobs in Reston, VA are:

What cities near Reston, VA are hiring for Data Engineer Project jobs?

Cities near Reston, VA with the most Data Engineer Project job openings:

Data Engineer Project jobs near you
Infographic showing various Data Engineer Project job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $171,677 per year, or $82.5 per hour.

Data Engineer

Platinum Technologies

Herndon, VA • On-site

$117K - $141K/yr

Full-time

Posted 23 days ago

Job description

Who we are.
Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products - we want to hear from you.
We lead with technical expertise, but that is just the tip of the iceberg - the 'Why' matters. At Platinum, we don't hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.
This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI polygraph.
You.
Platinum Technologies is seeking a Data Engineering Subject Matter Expert (SME) to join our team. In this position you will provide technical leadership for the design, implementation, and optimization of enterprise data engineering solutions supporting Object-Based Intelligence (OBI) mission requirements, ontology-driven data integration, and advanced analytics.
The Data Engineering Subject Matter Expert serves as the senior technical authority for developing and implementing scalable data architectures, pipelines, and integration frameworks that enable the ingestion, transformation, management, and delivery of structured, semi-structured, and unstructured data. This position applies data engineering best practices to support enterprise ontologies, knowledge graphs, Semantic Web technologies, and AI/ML applications while ensuring data quality, governance, interoperability, and security across diverse mission systems. Working closely with ontology engineers, software engineers, database engineers, data scientists, and Government stakeholders, the Data Engineering SME develops modern data solutions that support mission analytics, knowledge discovery, and decision advantage.
What you get to do.
  • Lead the design, development, and implementation of enterprise data engineering solutions supporting Object-Based Intelligence mission requirements.
  • Design and optimize scalable data pipelines for ingesting, transforming, validating, and integrating data from multiple internal and external sources.
  • Develop data integration frameworks that support enterprise ontologies, knowledge graphs, and Semantic Web technologies, including RDF, OWL, and SPARQL.
  • Collaborate with ontology engineers, software engineers, database engineers, analysts, and Government stakeholders to translate mission requirements into scalable data engineering solutions.
  • Design and implement data architectures supporting cloud-native, distributed, and hybrid computing environments.
  • Establish data quality, metadata management, lineage, and governance processes to ensure consistency, traceability, and interoperability across enterprise data assets.
  • Optimize data processing performance using modern distributed processing frameworks and scalable storage technologies.
  • Support AI/ML initiatives by developing reliable, high-quality data pipelines that provide curated datasets and semantic context for model training, inference, and decision support.
  • Develop automated monitoring, validation, and testing capabilities to ensure data accuracy, completeness, and operational reliability.
  • Produce and maintain technical documentation, data flow diagrams, interface specifications, data dictionaries, and engineering standards.
  • Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members regarding data engineering best practices, modern data architectures, and enterprise integration strategies.

Required Skills.
  • Must be a U.S. citizen and have an active TS/SCI with CI polygraph.
  • Minimum twelve (12) years of experience and an advanced degree or 17 years of experience with a bachelor's degree.
  • Demonstrated experience designing and implementing enterprise-scale data engineering solutions and data integration architectures.
  • Experience developing ETL/ELT pipelines using modern data engineering tools and frameworks.
  • Experience integrating structured, semi-structured, and unstructured data from heterogeneous enterprise data sources.
  • Experience with relational databases, NoSQL databases, graph databases, and distributed data processing platforms.
  • Knowledge of data modeling, metadata management, data governance, and enterprise data architecture principles.
  • Familiarity with Semantic Web technologies, knowledge graphs, or ontology-based data integration.
  • Experience supporting cloud-based or containerized data platforms, including Kubernetes and OpenShift.
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.

The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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